Evidence map›Paper›PMID 42859363›Full record

ArticleJournal of prevention (2022)2026

Social Capital, Ecological Context, and Mental Health Among Medical and Health-Sciences University Students: A Multilevel Study Across 20 Chinese Cities.

Shuhan Jiang, Tingzhong Yang, Jiawei Jin, Randall R Cottrell

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Article in Journal of prevention (2022), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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4 authors.

Shuhan JiangSchool of Humanities and Management, Zhejiang Chinese Medical University, Hangzhou, China.
Tingzhong YangResearch Center for Digital Health Behavior Theory and Management, Zhejiang University National Health Big Data Institute, Yuhangtang Road, Hangzhou, 310058, China. tingzhongyang@zju.edu.cn.ORCID http://orcid.org/0000-0001-8234-0938
Jiawei JinSchool of Humanities and Management, Zhejiang Chinese Medical University, Hangzhou, China.
Randall R CottrellPublic Health Studies Program, School of Health and Applied Human Sciences, University of North Carolina, Wilmington, NC, 28403, USA.

Funding

National Natural Science Foundation of China 71473221
6 · The paper itself

Abstract

objectivesThis study examines how social capital - including its cognitive, participatory, and relational dimensions - and the ecological economic context are associated with probable mental disorders among Chinese university students.

methodsA cross-sectional multilevel survey was conducted among 5,025 undergraduates from 22 universities across 20 cities in mainland China. Probable mental disorder was screen-identified using the CHQ-12, a screening (not diagnostic) instrument, and social capital was measured using the 12-item SCQ, which captures cognitive, participatory, and relational dimensions; both an overall index and dimension-specific multilevel models were estimated. Three-level (individual-university-region) multilevel logistic regression models were used to estimate associations with individual-, institutional-, and city-level factors.

resultsThe prevalence of screen-positive probable mental disorder was 27.2% (95% CI: 24.7%-29.7%). Higher overall social capital was associated with lower odds of probable mental disorder in a graded fashion (highest vs. lowest category OR = 0.25, 95% CI: 0.18-0.35). Among dimensions, relational social capital showed the strongest and most stable inverse association (≥ 2.0 vs. < 1.8: OR = 0.38, 95% CI: 0.25-0.58), followed by cognitive social capital, whereas the association for participatory social capital did not persist when all dimensions were modelled jointly. Students at lower-ranked universities reported lower odds (OR = 0.47, 95% CI: 0.40-0.56) than those at the highest-ranked institutions. Higher home-region GDP per capita was associated with lower odds of probable mental disorder (OR = 0.69, 95% CI: 0.62-0.76), whereas university-city GDP per capita was not significantly associated with probable mental disorder.

conclusionsSocial capital - and its relational dimension in particular - university type, and regional economic development are each independently associated with probable mental disorder among university students. Multilevel social and structural contexts should be considered in designing mental health interventions in higher education.

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ChinaMental health disordersMultilevel analysisPublic mental healthSocial capitalUniversity students

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